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LaunchDarkly
Enterprise Software
LaunchDarkly is an Oakland-based feature management platform that lets software engineering teams control which users see new features through feature flags, without requiring a new code deployment.
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LaunchDarkly was founded in 2014 by Edith Harbaugh and John Kodumal, based on the observation that traditional software deployment practices, in which a new code change including a new feature is deployed to all users simultaneously, create significant risk, since if a new feature has a bug or causes unexpected problems, the entire user base is immediately affected until an emergency fix can be deployed, a risk that becomes increasingly significant as companies deploy code changes more frequently under modern continuous deployment practices. LaunchDarkly's core technology, feature flags (sometimes called feature toggles), let engineering teams deploy new code to production with a new feature initially "turned off" or visible only to a small subset of users, then gradually and controllably roll the feature out to a larger percentage of the user base as confidence in the feature's stability and performance grows, and, critically, instantly turn a problematic feature back off for all users if issues are discovered, without needing to deploy an entirely new code release to fix the problem, since the feature's visibility is controlled by a flag setting rather than requiring a full code deployment cycle to change. This capability has become an important part of how many modern engineering teams manage risk in increasingly frequent software deployment cycles, letting teams decouple the technical act of deploying code from the business decision of when and to which users a given feature should actually become visible and active, and supporting practices such as A/B testing different feature variations, targeting specific features to particular customer segments, and quickly disabling problematic features without an emergency code deployment. LaunchDarkly's customers span software engineering organizations across many industries and company sizes that have adopted more frequent, continuous software deployment practices and want more granular control over feature rollout risk than an all-or-nothing deployment model provides. The company has raised substantial venture funding from investors including Bessemer Venture Partners, Tiger Global, and Kleiner Perkins, reaching a valuation exceeding $3 billion, competing with other feature management platforms including Split and Optimizely.
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